Massachusetts Institute of Technology (MIT) researchers have unveiled a new materials and chip-fabrication approach that ...
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Samsung Electronics Co. announced on Thursday that it has developed low-power server memory solutions designed to support ...
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New memristor-based converter boosts energy efficiency in AI hardware
A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the ...
Multispectral Intelligent Vision System with Embedded Low-Power Neural Computing is now nearing completion.
Researchers at MIT have developed a new computer chip fabrication method that integrates logic and memory devices to ...
Mythic, a Palo Alto-based AI chip company, has raised $125 million in a funding round to develop analog processing units ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Capping a dramatic turnaround, Mythic has raised $125M in an oversubscribed funding round led by DCVC to solve the biggest ...
VTT Project has combined neuromorphic computing—which mimics the way the brain processes information—with semiconductor technologies ...
Nature has been a source of inspiration for the project. The model for machine vision has been the collaboration between the human retina, visual cortex, and prefrontal lobe for perception and ...
The low power/high efficiency AI semiconductor market is rapidly evolving, driven by demand for devices achieving power efficiency exceeding 10 TFLOPS/W. Spanning neuromorphic and in-memory computing, ...
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